Leo Klarner

Oxford PhD student in Machine Learning for Drug Discovery

Bio

PhD student, Clarendon Scholar in the Oxford Protein Informatics (OPIG) and Computational Statistics & Machine Learning (OxCSML) groups. Improving the robustness of deep learning algorithms in early-stage drug discovery.

Publications

Most recent publications on Google Scholar.
indicates equal contribution.

Bias in the Benchmark: Systematic experimental errors in bioactivity databases confound multi-task and meta-learning algorithms

Leo Klarner, Michael Reutlinger, Torsten Schindler, Charlotte Deane, Garrett Morris

ICML '22 Workshop on AI4Science

GAUCHE: A Library for Gaussian Processes in Chemistry

Ryan-Rhys Griffiths, Leo Klarner, Henry B. Moss, Aditya Ravuri, Sang Truong, Bojana Rankovic, Yuanqi Du,, ..., Alpha A. Lee, Philippe Schwaller, Jian Tang

ICML '22 Workshop on AI4Science

Bias in the Benchmark: Systematic experimental errors in bioactivity databases confound multi-task and meta-learning algorithms

Leo Klarner, Michael Reutlinger, Torsten Schindler, Charlotte Deane, Garrett Morris

ICML '22 Workshop on AI4Science

GAUCHE: A Library for Gaussian Processes in Chemistry

Ryan-Rhys Griffiths, Leo Klarner, Henry B. Moss, Aditya Ravuri, Sang Truong, Bojana Rankovic, Yuanqi Du,, ..., Alpha A. Lee, Philippe Schwaller, Jian Tang

ICML '22 Workshop on AI4Science